基于运动目标分类的双向人流量统计算法  

Algorithm for the Bidirectional Pedestrian Counting Based on the Classification of Moving Objects

作　　者：李振宇[1] 曹建荣[1] 高红红[1] 贺文婷[1] 

机构地区：[1]山东建筑大学信息与电气工程学院,济南250101

出　　处：《计算机系统应用》2016年第4期197-200,共4页Computer Systems & Applications

摘　　要：提出了一种在智能视频监控中基于运动目标分类的双向人流量统计算法.本文首先对运动目标进行检测和跟踪,根据检测出的运动目标团块经过预设计数线时的特征信息,把目标划分为非行人、单行人和多行人.对于多行人的情况,利用HOG和SVM对目标团块中的头肩进行检测,判断出多目标团块包含的行人数目.在人流量的统计中,借助于运动目标方向信息和目标团块所包含的行人数目信息,对经过场景预设计数线的行人进行进出双向的统计.本文算在建筑物通道口环境下的人流量统计中取得了较好的效果.This paper proposes an algorithm for the bidirectional pedestrian counting based on the classification of moving objects in intelligent video surveillance. First of all, detect and track the moving objects. According to the feature information of the blocks of moving objects has been detected through the predetermined counting line, divide the moving objects into non-pedestrian, single pedestrian and multiple pedestrians. For the case of multiple pedestrians,detect the head and shoulder in the blocks using Hog and SVM and count the number of pedestrians. In this paper, with the direction information of moving objects and the number of pedestrians including in the blocks of moving objects,calculate the bidirectional flow of people when the pedestrians cross the the predetermined counting line. The algorithm in this paper acquires good effect in the corridor environment.

关 键 词：运动目标 HOG SVM 双向人流量统计 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]